Haiwei Wang
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- RNA modifications and cancer 6
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- Cancer, Hypoxia, and Metabolism 8
- Cancer-related molecular mechanisms research 8
- Co-authors
- Xinrui Wang (25 shared papers)Liangpu Xu (27 shared papers)Geoffrey H. Gold (1 shared paper)Charles J. Wysocki (1 shared paper)Hua Cao (8 shared papers)Nan Zheng (1 shared paper)Songli Li (1 shared paper)Fang Wen (1 shared paper)
- Journals
- Scientific Reports (4 papers)Cancer Medicine (3 papers)BMC Pediatrics (3 papers)Frontiers in Genetics (3 papers)Chemical Engineering Journal (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Haiwei Wang
77 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Sensory Systems 137
- Cancer Research 204
- Molecular Biology 539
- Cellular and Molecular Neuroscience 138
- Nutrition and Dietetics 92
Countries citing papers authored by Haiwei Wang
This map shows the geographic impact of Haiwei Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Wang more than expected).
Fields of papers citing papers by Haiwei Wang
This network shows the impact of papers produced by Haiwei Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haiwei Wang. The network helps show where Haiwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiwei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 152 | |
| 2 | 2014 | 133 | |
| 3 | 2020 | 53 | |
| 4 | 2016 | 49 | |
| 5 | 2023 | 36 | |
| 6 | 2017 | 33 | |
| 7 | 2020 | 30 | |
| 8 | 2000 | 30 | |
| 9 | 2010 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2013 | 26 | |
| 12 | 2023 | 21 | |
| 13 | 2019 | 21 | |
| 14 | 1996 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2010 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2020 | 19 | |
| 20 | Chronotype and a PERIOD3 variable number tandem repeat polymorphism in Han Chinese pilots. | 2014 | 19 |
About Haiwei Wang
Haiwei Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (6 papers), Ferroptosis and cancer prognosis (6 papers), Retinal Diseases and Treatments (5 papers), Glioma Diagnosis and Treatment (5 papers), Neuroblastoma Research and Treatments (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Sensory Systems (137 citations), Cancer Research (204 citations), Molecular Biology (539 citations), Cellular and Molecular Neuroscience (138 citations) and Nutrition and Dietetics (92 citations). Haiwei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xinrui Wang, Liangpu Xu, Geoffrey H. Gold, Charles J. Wysocki, Hua Cao, Nan Zheng, Songli Li, Fang Wen, Xiaodong Guo and Hui Wang. Their work appears in journals such as Scientific Reports, Cancer Medicine, BMC Pediatrics, Frontiers in Genetics and Chemical Engineering Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.